TriNetX, the global health research network, today announced the availability of TriNetX Research, a suite of analytics solutions to leverage real-world data when conducting observational and outcomes research. TriNetX Research combines longitudinal clinical and genomic data from its global network with powerful, state-of-the-art analytics on a single self-service platform. Researchers will now have access to the fastest and easiest method to create real-world evidence (RWE) and enable discoveries.
TriNetX has partnered with over 70 healthcare organizations, spanning 11 countries to deploy a global health research network which represents over 100 million patients which is constantly being updated. Through its cloud-based platform, TNX™, researchers analyze patient populations and perform observational studies in real-time.
TriNetX Research Features
TriNetX Research simplifies clinical data query and analysis for epidemiologists and clinical researchers and supports:
– Comparative effectiveness to identify treatments that have better outcomes for a given population
– Generation of value-based evidence to characterize drug efficacy and burden of illness to support payer coverage and patient reimbursements
– Uncovering of evidence for label expansion by identifying unanticipated positive ancillary outcomes
The TriNetX Research suite of products include:
– TriNetX Analyze which provides researchers with on-demand access to longitudinal clinical and genomic data with a set of highly intuitive analytics capabilities. With TriNetX Analyze, researchers can explore, compare, and review cohort characteristics prior to an event and evaluate outcomes afterward.
TriNetX Download provides the ability to explore, assess, and download fully anonymized data from a select set of its healthcare organization members. The dataset can also be delivered in a format that can be directly loaded into an OMOP database.
“TriNetX removes the complex tasks of acquiring and loading data, harmonizing the data across multiple coding systems, and developing or adapting tools to interact with the data,” said David Fusari, Chief Technology Officer of TriNetX. “Through just a browser, researchers can now query tens of millions of de-identified patient records and obtain aggregate results that are HIPAA and GDPR compliant.”